ReviewActa cytologica2021
Artificial Intelligence in Thyroid Fine Needle Aspiration Biopsies.
Review in Acta cytologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06901908 (Role of Cytomorphometry and BRAFV600E Immunocytochemistry With a Cytologic Diagnosis "Suspicious for Papillary Thyroid Carcinoma"), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Role of Cytomorphometry and BRAFV600E Immunocytochemistry With a Cytologic Diagnosis "Suspicious for Papillary Thyroid Carcinoma"
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of telecytology for the evaluation of thyroid nodules fine-needle aspiration biopsy specimens: a systematic review.Journal of endocrinological investigation · 2024Pooled it
- [Prospects for the application of convolutional neural networks in the cytological diagnosis of thyroid nodules].Problemy endokrinologii · 2025Review
- AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.Diagnostic pathology · 2025Article
- Thyroid Cancer Staging: Historical Evolution and Analysis From Macrocarcinoma to Microcarcinoma.Cureus · 2025Review
- Research progress on artificial intelligence technology-assisted diagnosis of thyroid diseases.Frontiers in oncology · 2025Review
- Revisiting the utility of identifying nuclear grooves as unique nuclear changes by an object detector model.Journal of pathology and translational medicine · 2024Article
- Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid.Cancers · 2024Article
- Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review.AIMS public health · 2024Review
- CT-based radiomics features for the differential diagnosis of nodular goiter and papillary thyroid carcinoma: an analysis employing propensity score matching.Frontiers in oncology · 2024Article
- A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms.Journal of imaging · 2023Article
- Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution.Scientific reports · 2023Article
- Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2023Article
- Multi-Omics and Management of Follicular Carcinoma of the Thyroid.Biomedicines · 2023Review
- Applications of machine and deep learning to thyroid cytology and histopathology: a review.Frontiers in oncology · 2023Review
- Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules.Frontiers in endocrinology · 2023Article
- Current status of machine learning in thyroid cytopathology.Journal of pathology informatics · 2023Review
- Review
- Editorial on the Special Issue "Novel Methods of Diagnostics of Thyroid and Parathyroid Lesions".Journal of clinical medicine · 2022Article
- Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology.Frontiers in medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundFrom cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence in the modern age. In this review, we discuss the application of AI solutions to an equally ubiquitous problem in cytopathology - thyroid fine needle aspiration biopsy (FNAB). Thyroid nodules are common in the general population, and FNAB is the sampling modality of choice. The resulting prevalence in the practicing pathologist's daily workload makes thyroid FNAB an appealing target for the application of AI solutions. SUMMARY: This review summarizes all available literature on the application of AI to thyroid cytopathology. We follow the evolution from morphometric analysis to convolutional neural networks. We explore the application of AI technology to different questions in thyroid cytopathology, including distinguishing papillary carcinoma from benign, distinguishing follicular adenoma from carcinoma and identifying non-invasive follicular thyroid neoplasm with papillary-like nuclear features by key words and phrases. Key Messages: The current literature shows promise towards the application of AI technology to thyroid fine needle aspiration biopsy. Much work is needed to define how this powerful technology will be of best use to the future of cytopathology practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.